IPMI

Publications

2023

Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images. IPMI (2023)
Raghav Tandon, Anna Kirkpatrick, Cassie S. Mitchell
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering. IPMI (2023)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Token Sparsification for Faster Medical Image Segmentation. IPMI (2023)
Alexandra L. Young, Leon M. Aksman, Daniel C. Alexander, Peter A. Wijeratne
Subtype and Stage Inference with Timescales. IPMI (2023)
Antoine Legouhy, Ross Callaghan, Hojjat Azadbakht, Hui Zhang
POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration. IPMI (2023)
Jinghan Huang, Moo K. Chung, Anqi Qiu
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. IPMI (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI (2023)
Florian Kofler, Suprosanna Shit, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Rami Al-Maskari, Hongwei Bran Li, Harsharan Bhatia, Timo Loehr, Marie Piraud, Ali Ertürk, Jan Kirschke, Jan C. Peeken, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze
blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. IPMI (2023)
Jiexiang Wang, Chaoqi Chen
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision. IPMI (2023)
Jiahong Ouyang, Li Chen, Gary Y. Li, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Kenton W. Gregory, Cynthia Gregory, Meihua Zhu, David O. Kessler, Laurie Malia, Almaz Dessie, Joni Rabiner, Di Coneybeare, Bo Shopsin, Andrew Hersh, Cristian Madar, Jeffrey Shupp, Laura S. Johnson, Jacob Avila, Kristin Dwyer, Peter Weimersheimer, Balasundar Raju, Jochen Kruecker, Alvin Chen
Weakly Semi-supervised Detection in Lung Ultrasound Videos. IPMI (2023)
Yongsong Huang, Wanqing Xie, Mingzhen Li, Mingmei Cheng, Jinzhou Wu, Weixiao Wang, Jane You, Xiaofeng Liu
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation. IPMI (2023)
Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, Guotai Wang
UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation. IPMI (2023)
Wenlong Deng, Yuan Zhong, Qi Dou, Xiaoxiao Li
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations. IPMI (2023)
Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas Maier
Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising. IPMI (2023)
Manxi Lin, Kilian Zepf, Anders Nymark Christensen, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. IPMI (2023)
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Using Multiple Instance Learning to Build Multimodal Representations. IPMI (2023)
Abdalla Bani, Sung Min Ha, Pan Xiao, Thomas Earnest, John Lee, Aristeidis Sotiras
Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization. IPMI (2023)
Anne-Marie Rickmann, Murong Xu, Tom Nuno Wolf, Oksana P. Kovalenko, Christian Wachinger
HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery. IPMI (2023)
Yunyi Liu, Zhanyu Wang, Dong Xu, Luping Zhou
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder. IPMI (2023)
Xiaodong Wu, Leixin Zhou, Fahim A. Zaman, Bensheng Qiu, John M. Buatti
Model-Informed Deep Learning for Surface Segmentation in Medical Imaging. IPMI (2023)
Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul J. Laurienti, Guorong Wu
HoloBrain: A Harmonic Holography for Self-organized Brain Function. IPMI (2023)
Shuxian Wang, Yubo Zhang, Sarah K. McGill, Julian G. Rosenman, Jan-Michael Frahm, Soumyadip Sengupta, Stephen M. Pizer
A Surface-Normal Based Neural Framework for Colonoscopy Reconstruction. IPMI (2023)
Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz
Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows. IPMI (2023)
Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang, Xueqi Guo, Huidong Xie, Xiongchao Chen, Tianshun Miao, Yihuan Lu, James S. Duncan, Chi Liu
Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET. IPMI (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation. IPMI (2023)
Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers
Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. IPMI (2023)
Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. IPMI (2023)
Niharika Shimona D'Souza, Archana Venkataraman
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds. IPMI (2023)
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. IPMI (2023)
Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI (2023)
Nian Wu, Miaomiao Zhang
NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces. IPMI (2023)
Sadhana Ravikumar, Ranjit Ittyerah, Sydney Lim, Long Xie, Sandhitsu R. Das, Pulkit Khandelwal, Laura E. M. Wisse, Madigan L. Bedard, John L. Robinson, Terry Schuck, Murray Grossman, John Q. Trojanowski, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, David J. Irwin, Winifred Trotman, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation. IPMI (2023)
Haocheng Dai, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi
Modeling the Shape of the Brain Connectome via Deep Neural Networks. IPMI (2023)
Li Yang, Songyao Zhang, Weihan Zhang, Jingchao Zhou, Tianyang Zhong, Yaonai Wei, Xi Jiang, Tianming Liu, Junwei Han, Yixuan Yuan, Tuo Zhang
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder. IPMI (2023)
Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang
MetaMorph: Learning Metamorphic Image Transformation with Appearance Changes. IPMI (2023)
Michele Guerreri, Sean C. Epstein, Hojjat Azadbakht, Hui Zhang
Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design. IPMI (2023)
Tai Hasegawa, Helena Arvidsson, Nikolce Tudzarovski, Karl Meinke, Rachael V. Sugars, Aravind Ashok Nair
Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction. IPMI (2023)
Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. IPMI (2023)
Xin Wang, Xinzhe Luo, Xiahai Zhuang
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement. IPMI (2023)
Wentao Pan, Jiangpeng Yan, Hanbo Chen, Jiawei Yang, Zhe Xu, Xiu Li, Jianhua Yao
Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation. IPMI (2023)
Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap
MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI. IPMI (2023)
Tom van Sonsbeek, Marcel Worring
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation. IPMI (2023)
Ziqi Wen, Xinru Zhang, Chuyang Ye
Source-Free Domain Adaptation for Medical Image Segmentation via Selectively Updated Mean Teacher. IPMI (2023)
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. IPMI (2023)
Gary Sarwin, Alessandro Carretta, Victor E. Staartjes, Matteo Zoli, Diego Mazzatenta, Luca Regli, Carlo Serra, Ender Konukoglu
Live Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding. IPMI (2023)
Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. IPMI (2023)
Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu
Non-rigid Medical Image Registration using Physics-informed Neural Networks. IPMI (2023)
Yikang Liu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal. IPMI (2023)
Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. IPMI (2023)

volume 13939, 2023

Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings IPMI 13939 (2023)